This study aims to create a concrete sales forecasting system using the moving average method to predict sales for the next month in order to determine the amount of production that must be supplied in the next period. The study uses the moving average method which is widely used and has accuracy in forecasting. The results obtained mean error of 32630.95, MAD of 224532, MSE of 80977550000, standard error of 318154, Mape of 12.621% and average forecast of 1960074.0. The study implies that the moving average method is an effective tool for sales forecasting and can be used to make informed decisions about production planning and estimating future growth Highlight : The study aims to create a concrete sales forecasting system using the moving average method. The moving average method is an effective tool for sales forecasting and can be used to make informed decisions about production planning and estimating future growth. The study provides statistical measures such as mean error, MAD, MSE, standard error, and MAPE to evaluate the accuracy of the moving average method. Keywords: Sales forecasting, Moving average method, Production planning, Accuracy, Informed decisions.
{"title":"Apllication Of The Moving Average Forecasting Method In Masonry Concrete Sales","authors":"Mochammad Romi, Boy Isma Putra","doi":"10.21070/pels.v7i0.1591","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1591","url":null,"abstract":"This study aims to create a concrete sales forecasting system using the moving average method to predict sales for the next month in order to determine the amount of production that must be supplied in the next period. The study uses the moving average method which is widely used and has accuracy in forecasting. The results obtained mean error of 32630.95, MAD of 224532, MSE of 80977550000, standard error of 318154, Mape of 12.621% and average forecast of 1960074.0. The study implies that the moving average method is an effective tool for sales forecasting and can be used to make informed decisions about production planning and estimating future growth \u0000Highlight : \u0000 \u0000The study aims to create a concrete sales forecasting system using the moving average method. \u0000The moving average method is an effective tool for sales forecasting and can be used to make informed decisions about production planning and estimating future growth. \u0000The study provides statistical measures such as mean error, MAD, MSE, standard error, and MAPE to evaluate the accuracy of the moving average method. \u0000 \u0000Keywords: Sales forecasting, Moving average method, Production planning, Accuracy, Informed decisions.","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"165 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140449002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The process of manufacturing axles and pulleys for St40 iron belt conveyors is a crucial stage in the development of components capable of meeting the demands of severe industrial environments. This article provides a comprehensive overview of the set of steps required to create a precise and reliable axle and pully. From the technical design to the final finishing stage, each step is explained in detail to ensure optimal quality and performance. Material selection, cutting, forming, precision machining, welding, heat treatment, and protective spraying are integral components of this manufacturing process. By deeply understanding this process, it is expected that the belt conveyor industry can produce high-quality products that can withstand extreme operational conditions
{"title":"Axle Pully Making Process For Conveyor Belt St40 Iron","authors":"Mukhammad Imam Baihaqi, Prantasi Harmi Tjhajajanti","doi":"10.21070/pels.v7i0.1559","DOIUrl":"https://doi.org/10.21070/pels.v7i0.1559","url":null,"abstract":"Abstract The process of manufacturing axles and pulleys for St40 iron belt conveyors is a crucial stage in the development of components capable of meeting the demands of severe industrial environments. This article provides a comprehensive overview of the set of steps required to create a precise and reliable axle and pully. From the technical design to the final finishing stage, each step is explained in detail to ensure optimal quality and performance. Material selection, cutting, forming, precision machining, welding, heat treatment, and protective spraying are integral components of this manufacturing process. By deeply understanding this process, it is expected that the belt conveyor industry can produce high-quality products that can withstand extreme operational conditions \u0000 ","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"12 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140448699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dieo Riezma Elfahira, Lukman Hudi, Syarifa Ramadhani Nurbaya
This study used a factorial randomized block design. The first factor is the proportion of Gracilaria verrucosa seaweed flour with white glutinous rice flour (P): (P1) 75%:25%, (P2) 50%:50%, and (P3)25%:75%, the second factor is concentration of CMC (K): (K1) 2%, (K2) 4%, and (K3) 6%. The data were analyzed using analysis of variance, followed by the BNJ test (Honest Significant Difference) at 5% level, and the organoleptic test was analyzed using the Friedman test. The best treatment was obtained in the P3K3 treatment (proportion of Gracilaria verrucosa seaweed flour with white glutinous rice flour 75%: 25% and CMC concentration 6%) with color L (lightness) 43.1; *a (redness) 4.9; *b (yellowness) 10.6; 1.66N texture; water content 37.40%; free fatty acid content of 0.28%; reducing sugar content 0.4%; and antioxidant activity 368.6 μg/ml.
{"title":"The Effect of Gracilaria verrucosa Seaweed Flour Proportion with White Glutinous Rice Flour (Oryza sativa Glutinosa) and CMC (Carboxy Methyl Cellulose) Concentration on Physical and Chemical Characteristics of Seaweed Dodol","authors":"Dieo Riezma Elfahira, Lukman Hudi, Syarifa Ramadhani Nurbaya","doi":"10.21070/pels.v3i0.1355","DOIUrl":"https://doi.org/10.21070/pels.v3i0.1355","url":null,"abstract":"This study used a factorial randomized block design. The first factor is the proportion of Gracilaria verrucosa seaweed flour with white glutinous rice flour (P): (P1) 75%:25%, (P2) 50%:50%, and (P3)25%:75%, the second factor is concentration of CMC (K): (K1) 2%, (K2) 4%, and (K3) 6%. The data were analyzed using analysis of variance, followed by the BNJ test (Honest Significant Difference) at 5% level, and the organoleptic test was analyzed using the Friedman test. The best treatment was obtained in the P3K3 treatment (proportion of Gracilaria verrucosa seaweed flour with white glutinous rice flour 75%: 25% and CMC concentration 6%) with color L (lightness) 43.1; *a (redness) 4.9; *b (yellowness) 10.6; 1.66N texture; water content 37.40%; free fatty acid content of 0.28%; reducing sugar content 0.4%; and antioxidant activity 368.6 μg/ml.","PeriodicalId":491073,"journal":{"name":"Procedia of Engineering and Life Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136390174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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